Traditional Culture Encyclopedia - Hotel franchise - Chaos such as "big data killing" is prominent. Are you afraid of this algorithm?

Chaos such as "big data killing" is prominent. Are you afraid of this algorithm?

This algorithm is really scary. There are many reasons for fear. What scares people is not one reason, but that their big data is ripe. Without our knowledge, they have pushed us a lot of similar information and pushed us a lot of unequal things. For example, the simplest way to book a hotel, the new user will get a coupon when booking a hotel, and he will get a rebate, but the old user, then the hotel he booked will often be much more expensive than the new user. This is a big data killing. He will judge a customer's preference and price sensitivity according to his usage habits, and then recommend different search results. The result is that the price of the hotel I searched first is tens or even hundreds of yuan cheaper than that of the old users, and sometimes the price difference of some famous hotels may be thousands of yuan.

Big data killing and such algorithms are actually out of people. For algorithm technology, we mainly want to get better and more accurate delivery, that is, to accurately match the information content with the user's needs. For example, some people say that they will watch some short videos for only a few minutes, but a brush may be a few hours, because this is a means of artificial intelligence, and recommend you related content that you prefer to watch.

For example, a friend of mine searched some spoof short videos online before, and as a result, the platform kept pushing more spoof short videos to him. At first, he just wanted to watch for a few minutes to kill time, but he didn't expect to brush for a few hours, which greatly affected his life and work. If he is a minor, it may also affect his study. After all, the self-control ability of minors is inherently weak.

Online shopping is often the hardest hit area of big data, because some platforms use some algorithm technologies, which will naturally give different pushes to many different types of consumers. Sometimes the prices of goods seen by old users are much more expensive than those of new users, and the goods searched by new users are often cheaper. I wanted to buy some children's story books for my children some time ago. The goods I found are 30% more expensive than those found by my other half. Maybe I don't pay special attention to the price when I spend money, but my other half cares about the comparison of cost performance. This is also a big data killing and has to be scary.